activity
20152025
most citedMoment Varieties of Gaussian Mixtures

56 citations · 161 across the 21 of their papers we have counts for

collaborators
Showing math.AGShow all

6 papers · 1 filter

math.AG2025

The Maximum Likelihood Degree of Toric Models is Monotonic

Carlos Améndola, Janike Oldekop, Maximilian Wiesmann

We settle a conjecture by Coons and Sullivant stating that the maximum likelihood (ML) degree of a facial submodel of a toric model is at most the ML degree of the model itself. We…

math.AG2025★ 1 cited

Computing Path Signature Varieties in Macaulay2

Carlos Améndola, Angelo El Saliby, Felix Lotter +1

The signature of a path is a non-commutative power series whose coefficients are given by certain iterated integrals over the path coordinates. This series almost uniquely characte…

math.AG2020★ 9 cited

The Maximum Likelihood Degree of Linear Spaces of Symmetric Matrices

Carlos Améndola, Lukas Gustafsson, Kathlén Kohn +2

We study multivariate Gaussian models that are described by linear conditions on the concentration matrix. We compute the maximum likelihood (ML) degrees of these models. That is,…

math.AG2017★ 3 cited

Computing Tropical Varieties in Macaulay2

Carlos Améndola, Kathlén Kohn, Sara Lamboglia +5

We introduce a package for doing tropical computations in Macaulay2. The package draws on the functionality of Gfan and Polymake while making the process as simple as possible for…

math.AG2016★ 13 cited

Solving Parameterized Polynomial Systems with Decomposable Projections

Carlos Améndola, Julia Lindberg, Jose Israel Rodriguez

The Galois group of a parameterized polynomial system of equations encodes the structure of the solutions. This monodromy group acts on the set of solutions for a general set of pa…

math.AG2015★ 56 cited

Moment Varieties of Gaussian Mixtures

Carlos Améndola, Jean-Charles Faugère, Bernd Sturmfels

The points of a moment variety are the vectors of all moments up to some order of a family of probability distributions. We study this variety for mixtures of Gaussians. Following…